iPhone 13 mini
Geekbench AI Score
3177
Single Precision Score
5585
Half Precision Score
4533
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 08 2025 01:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 13 mini |
| Model ID | iPhone14,4 |
| Motherboard | D16AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1321
245.7 IPS |
|
|
Image Classification (HP)
|
100% |
2367
440.2 IPS |
|
|
Image Classification (Q)
|
96% |
1634
305.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2403
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6006
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
13489
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11285
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
97% |
2652
211.1 IPS |
|
|
Object Detection (Q)
|
94% |
1861
148.3 IPS |
|
|
Face Detection (SP)
|
100% |
2714
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
5402
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3003
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5142
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10249
79.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7101
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16460
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26668
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21842
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3655
135.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4727
174.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3515
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
2465
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4256
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4385
5.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3571
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6025
104.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6194
107.0 IPS |
